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Where’s the Rock: Using Convolutional Neural Networks to Improve Land Cover Classification

Overview of attention for article published in Remote Sensing, September 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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7 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Where’s the Rock: Using Convolutional Neural Networks to Improve Land Cover Classification
Published in
Remote Sensing, September 2019
DOI 10.3390/rs11192211
Authors

Helen Petliak, Corina Cerovski-Darriau, Vadim Zaliva, Jonathan Stock

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 29%
Student > Ph. D. Student 10 20%
Student > Master 9 18%
Professor 3 6%
Other 1 2%
Other 2 4%
Unknown 10 20%
Readers by discipline Count As %
Earth and Planetary Sciences 10 20%
Computer Science 5 10%
Environmental Science 5 10%
Engineering 4 8%
Social Sciences 3 6%
Other 3 6%
Unknown 19 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 April 2020.
All research outputs
#16,276,211
of 24,748,616 outputs
Outputs from Remote Sensing
#6,201
of 12,767 outputs
Outputs of similar age
#208,729
of 349,246 outputs
Outputs of similar age from Remote Sensing
#189
of 334 outputs
Altmetric has tracked 24,748,616 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,767 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 349,246 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 334 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.